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10/09/2020
Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids
Real-time state estimation and forecasting is critical for efficient ope...
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10/08/2020
Dynamic mode decomposition for forecasting and analysis of power grid load data
Time series forecasting remains a central challenge problem in almost al...
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10/09/2019
